Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/6647
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dc.contributor.authorAravind, G.-
dc.contributor.authorUma, G.V.-
dc.date.accessioned2024-09-23T09:02:04Z-
dc.date.available2024-09-23T09:02:04Z-
dc.date.issued2020-
dc.identifier.citationAravind, G.; Uma, G.V.: Knowledge management process model using IHS based on detecting process with less energy consumption. Timişoara: Editura Politehnica, 2020.en_US
dc.identifier.issn1582-4594-
dc.identifier.urihttps://dspace.upt.ro/xmlui/handle/123456789/6647-
dc.description.abstractIn this work, the major focus is on the improvement of management process, which is to reliably form asolution process of optimal. The imbalanced data managing process is maintained with efficient process of proposed system (IHS – Improved Hybrid Sampling) with less energy consumption. In this study, we present and suggest a comprehensive and phased knowledge management process framework that integrates and streamlines varied and multiple processes in a phased manner to collect analyze and manage knowledge. This KM process framework will help to identify the information needs and provide decision makers with useful step-by-step recommendations and guidelines based upon the integrated knowledge and past experience. The performance shows the improvement of the balancing the data and energy consumption for process in an efficient manner.en_US
dc.language.isoenen_US
dc.publisherTimișoara : Editura Politehnicaen_US
dc.relation.ispartofseriesJournal of Electrical Engineering;Vol 20 No 1-
dc.subjectSamplingen_US
dc.subjectProcess Modelen_US
dc.subjectImbalanced Dataen_US
dc.subjectPattern Miningen_US
dc.subjectClass Detectoren_US
dc.subjectEnergyen_US
dc.titleKnowledge management process model using IHS based on detecting process with less energy consumption [articol]en_US
dc.typeArticleen_US
Appears in Collections:Articole științifice/Scientific articles

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